Method for site remaining intelligent video recognition of electric power operation tools and instruments

A technology for video recognition and power operation, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as lack of ideal methods, and achieve the effect of eliminating potential safety hazards

Inactive Publication Date: 2014-10-29
STATE GRID CORP OF CHINA +3
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] As far as power facilities are concerned, how to analyze the legacy of tools and appliances at t

Method used

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Experimental program
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Embodiment Construction

[0013] A method for intelligent video identification left on the site of electrical work tools, specific steps

[0014] (1) Collect video images through the front-end camera;

[0015] (2) Decompress the collected video image and decompose it into a YUV image

[0016] (3) Convert YUV images to RGB images;

[0017] (4) Decompose it into a picture frame by frame, and then randomly select multiple frames from it for analysis and comparison;

[0018] (5) Compare the next frame of pictures with the previous frame of pictures, and use self-learning to update the background environment in real time, and extract the target object from it, so as to judge whether there are tools left at the work site.

[0019] Decompose the image collected by the front-end camera into frame by frame, select the appropriate frame according to the actual situation and send it to the core intelligent image analysis module for image analysis, compare the image of the next frame with the image of the previo...

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Abstract

The invention discloses a method for site remaining intelligent video recognition of electric power operation tools and instruments. The method comprises the steps of collecting video images through a front-end camera; decompressing the video images collected, and decomposing the video images into YUV pictures; converting the YUV pictures into RGB pictures; decomposing the pictures frame by frame, randomly extracting multiple frames to make an analysis comparison; comparing a next picture frame with a last picture frame, updating the background environment in real time by utilizing self learning, and extracting target objects from the background environment so as to judge whether the tools and the instruments remain on the operation site. According to the method, the remaining conditions of the electric power operation tools and instruments can be recognized conveniently and timely, an alarm can be made actively against the conditions that the tools and the instruments remain on the electric power operation site due to negligence of workers, work of the workers is standardized, and the potential safety hazard is eliminated.

Description

technical field [0001] The invention relates to an intelligent video identification method left on the site of an electrical work tool. Background technique [0002] As far as power facilities are concerned, how to analyze the legacy of tools and appliances at the power work site is a long-term goal pursued by technicians, and there is still no ideal method so far. Contents of the invention [0003] The object of the present invention is to provide an intelligent video identification method for on-site leftovers of electric power work tools that can conveniently and timely identify the leftover conditions of electric work site tools. [0004] Technical solution of the present invention is: [0005] A method for intelligent video identification left on the site of electrical work tools, characterized in that: specific steps [0006] (1) Collect video images through the front-end camera; [0007] (2) Decompress the collected video image and decompose it into a YUV image ...

Claims

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Application Information

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IPC IPC(8): G06K9/66
Inventor 朱富云丁然杨小平李学钧戴相龙朱卫徐勤黄金鑫张宏林陈天香
Owner STATE GRID CORP OF CHINA
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